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Entry Level Startup Data Engineer Jobs in Ohio (NOW HIRING)

Jr Data Engineer

Cincinnati, OH · On-site

$30 - $32/hr

Junior Data Engineer Downtown Cincinnati Hybrid Role $27 - $38 per hour ABOUT THE ROLE Our client ... This entry-level position is ideal for candidates with up to 18 months of experience who are eager ...

New

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry-Level Data Scientist / Java Developer -- Choose a Path With Support If you are applying everywhere but not getting responses, it may be time to stop guessing and start building a structured ...

Entry-Level Product Quality Engineer Toledo, Ohio, United States $27.58 per hour Contract ... data and identify opportunities for process and product improvements • Assist with quality ...

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110K - $132K/yr

OH.io is transforming Columbus into America's startup technology capital, aiming to ignite B2B SaaS founders with GTM acceleration. The GTM Engineer (Data & Analytics) will build data-driven GTM ...

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110K - $132K/yr

OH.io is transforming Columbus into America's startup technology capital, focusing on igniting B2B SaaS founders with GTM acceleration. The GTM Engineer (Data & Analytics) will build data-driven GTM ...

Perform installation, startup, and commissioning of lithium battery systems for data center and/or ... Prior field service or commissioning experience. Entry-level candidates are encouraged to apply ...

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Entry Level Startup Data Engineer information

What are some common challenges faced by entry level data engineers at startups, and how can they be addressed?

Entry level data engineers at startups often encounter challenges such as working with rapidly evolving tech stacks, limited documentation, and balancing multiple responsibilities due to smaller teams. Adapting quickly and proactively seeking clarification from team members is key. Building strong communication with software engineers, data scientists, and product managers helps ensure alignment on data requirements and project priorities. Taking initiative to document solutions and automate repetitive tasks can also improve efficiency and contribute to team success.

What does an Entry Level Startup Data Engineer do?

An Entry Level Startup Data Engineer is responsible for building and maintaining the data infrastructure that supports a startup's analytics and business operations. They typically work with databases, data pipelines, and cloud platforms to collect, process, and store data from various sources. Their tasks often include cleaning and transforming raw data, ensuring data quality, and assisting data analysts or scientists by providing them with reliable datasets. Because startups often have smaller teams, entry-level data engineers may also take on a variety of technical tasks and collaborate closely with software engineers and product managers. This role is ideal for those looking to gain broad experience in data engineering within a fast-paced, innovative environment.

What are the key skills and qualifications needed to thrive as an Entry Level Startup Data Engineer, and why are they important?

To thrive as an Entry Level Startup Data Engineer, you need a solid understanding of programming languages like Python or SQL, data modeling, and a relevant degree such as computer science or engineering. Familiarity with data pipelines, cloud platforms (e.g., AWS, Google Cloud), and tools like Apache Spark or ETL systems is typically required. Strong problem-solving abilities, adaptability, and effective communication skills help you excel in a fast-paced, evolving environment. These competencies are crucial for building reliable data solutions and collaborating well within lean startup teams.

What is the difference between Entry Level Startup Data Engineer vs Data Analyst?

AspectEntry Level Startup Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL, Python, or Spark knowledgeBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentStartups, fast-paced, collaborative, technical focus on data pipelines and infrastructureVarious industries, focus on data interpretation, reporting, and business insights
Employer & Industry UsageTech startups, SaaS companies, e-commerceFinance, marketing, healthcare, retail

Entry Level Startup Data Engineers focus on building data infrastructure and pipelines, requiring technical skills like SQL and Python. Data Analysts interpret data to generate insights, often using visualization tools. While both roles work with data, engineers develop the systems, and analysts analyze data for decision-making.

What are the most commonly searched types of Startup Data Engineer jobs in Ohio? The most popular types of Startup Data Engineer jobs in Ohio are:
What are popular job titles related to Entry Level Startup Data Engineer jobs in Ohio? For Entry Level Startup Data Engineer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Entry Level Startup Data Engineer jobs? Cities in Ohio with the most Entry Level Startup Data Engineer job openings:
Infographic showing various Entry Level Startup Data Engineer job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Jr Data Engineer

Brooksource

Cincinnati, OH • On-site

$30 - $32/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Junior Data Engineer
Downtown Cincinnati
Hybrid Role
$27 - $38 per hour
ABOUT THE ROLE
Our client is seeking a highly motivated, detail-oriented Junior Data Engineer to join their dynamic team in downtown Cincinnati. This entry-level position is ideal for candidates with up to 18 months of experience who are eager to develop their skills in designing, building, and maintaining data pipelines and systems. As a Junior Data Engineer, you will work closely with Product Owners, data analysts, and business stakeholders to ensure data is accessible, high-quality, and well-documented. You will operate under the guidance of experienced engineers, gaining hands-on experience in both cloud and on-premises environments, and contributing to the bank's data engineering initiatives in a collaborative, Agile setting.
WHAT YOU'LL DO
  • Curate data elements and document data lineage in specified repositories
  • Manage data storage and ensure data quality across platforms
  • Build and maintain data pipelines and ETL processes, moving data between cloud-based and on-premises sources
  • Collaborate with Product Owners, data analysts, and business stakeholders to gather requirements and deliver data solutions
  • Write scripts and code to automate data processes and improve efficiency
  • Develop and maintain data models and transformation logic using DBT in both cloud and on-premises environments
  • Participate in Agile ceremonies, including sprint planning and reviews, and contribute to team deliverables
WHAT YOU BRING
  • 0-18 months of experience in a data engineering or related role
  • Proficiency in at least one programming language (e.g., Python, Java)
  • High level of proficiency using SQL, including strong understanding of joining data and query optimization
  • In-depth understanding of databases, data warehousing concepts, and ETL technologies (e.g., DataStage, dbt)
  • Experience with cloud platforms such as Snowflake or AWS
  • Understanding of big data technologies, including curation, data lineage, and data mesh concepts
  • Strong problem-solving and communication skills
  • Ability to work collaboratively in Agile team environments
  • Detail-oriented mindset with a willingness to learn and grow under the guidance of experienced engineers

Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.